Title :
Research on Broken Mappings Detecting Method Based on Fuzzy Aggregation Operators in Deep Web Integration Environment
Author :
Li, Aiping ; Miao, Jiajia ; Jia, Yan
Author_Institution :
Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
The deep web integration system employs a set of semantic mappings between the mediated schema and the schemas of web data sources. In this dynamic environment, sources often undergo changes that invalidate the mappings. Such continuous monitoring is extremely labor intensive, and poses a key bottleneck to the widespread deployment of web data integration systems in practice. The paper describes DBMFR (Detecting Broken Mappings Based on Fuzzy Reasoning) an automatic solution to detecting broken mappings. Fuzzy aggregation operators are leveraged to calculate the score, which implies whether the mapping is broken. The paper provides a new fuzzy reasoning algorithm based on fuzzy aggregation operators. Experiments over real-world sources demonstrate the effectiveness of our fuzzy-based approach over existing solutions, as well as the utility of our improvements.
Keywords :
Internet; fuzzy reasoning; information retrieval systems; information services; Web data integration system; broken mappings detecting method; continuous monitoring; data sources; deep Web integration environment; fuzzy aggregation operators; fuzzy reasoning algorithm; fuzzy-based approach; real-world sources; semantic mappings; widespread deployment; Accuracy; Books; Databases; Maintenance engineering; Marketing and sales; Prediction algorithms; Training; Deep Web; Fuzzy Aggregation Operators; Mapping Maintenance;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.39
